विधियों की तुलना करें
चुनी हुई विधियों की आमने-सामने समीक्षा करें; भिन्नता वाली पंक्तियाँ रेखांकित हैं।
| PCA भारण× | कम्बिनेटिव डिस्टेंस-बेस्ड असेसमेंट× | |
|---|---|---|
| क्षेत्र | निर्णयन | निर्णयन |
| परिवार | MCDM | MCDM |
| उद्भव वर्ष≠ | 1901 | 2016 |
| प्रवर्तक≠ | Pearson, K. | Keshavarz Ghorabaee, M., Zavadskas, E. K., Turskis, Z., Antucheviciene, J. |
| प्रकार≠ | Weight_Objective (PCA variance explained, eigenvector-based) | Distance from anti-ideal (Euclidean + Taxicab) |
| मौलिक स्रोत≠ | Pearson, K. (1901). On lines and planes of closest fit to systems of points in space. Philosophical Magazine DOI ↗ | Keshavarz Ghorabaee, M., Zavadskas, E. K., Turskis, Z., Antucheviciene, J. (2016). A new combinative distance-based assessment (CODAS) method for multi-criteria decision-making. Economic Computation and Economic Cybernetics Studies and Research link ↗ |
| उपनाम | — | — |
| संबंधित | 8 | 8 |
| सारांश≠ | PCA-WEIGHT (PCA Weighting — Principal Component Analysis based objective weighting) is a weight objective multi-criteria decision-making (MCDM) method introduced by Pearson, K. in 1901. It turns a decision matrix of alternatives scored on multiple criteria into a structured, reproducible result. | CODAS (Combinative Distance-Based Assessment) is a ranking multi-criteria decision-making (MCDM) method introduced by Keshavarz Ghorabaee, M., Zavadskas, E. K., Turskis, Z., Antucheviciene, J. in 2016. It turns a decision matrix of alternatives scored on multiple criteria into a structured, reproducible result. |
| ScholarGateडेटासेट ↗ |
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